Category: 03 Data Quality Assessment

Provides a systematic approach to measure and evaluate data quality according to processes, techniques, and against data quality rules.

Data quality assessments support the development and attainment of predefined quality expectations and measure data quality for the most important business data attributes, organized by subject area. Initiation of assessments is driven by business priorities, often focused on highly shared data required by multiple business areas, data required for accurate financial statements, and data sets […]

1. Establish and sustain a business-driven function to evaluate and improve the quality of data assets. 2. Standardize data quality assessment objectives, targets, and thresholds according to industry accepted techniques and processes. 3. Adopt standard data quality dimensions across domains for development of thresholds, targets, and metrics. 4. Establish an empirical method for statistical evaluation […]

1. Are standard data quality assessment techniques and methods documented and followed? 2. How are data quality assessments conducted, and are they scheduled or event-driven? 3. Are standard data quality rules developed for core data attributes? 4. Are data quality rules engines or assessment tools employed? 5. Are the business, technical, and cost impacts of […]

Data Quality Strategy contains additional information related to data quality dimen- sions, including accuracy, timeliness, uniqueness, etc. Data Profiling contains additional information related to practices associated with determination of data quality used for data quality assessment. Metadata Management contains additional information related to metadata management information and expectations.

[tabby title=»Performed»] Data quality assessments are performed and results are documented. Example Work Products Data quality rules Data quality assessment results [tabby title=»Managed»] 2.1 Data quality assessment objectives, targets, and thresholds are established, used, and maintained according to standard techniques and processes. 2.2 Data governance determines the key set of attributes by subject area for […]